Overview

Title

PydanticAI: A Python Agent Framework for Building Production-Grade Generative AI Applications

How to Use

PydanticAI is a simple and intuitive framework that allows you to build powerful AI-driven applications. To get started, define an agent with a model, system prompt, and output type. You can then run the agent synchronously or asynchronously, and it will return a structured response.

Key Features

• Model-agnostic: Supports multiple models, including OpenAI, Anthropic, and more
• Pydantic Logfire Integration: Seamless integration with Pydantic Logfire for real-time debugging and performance monitoring
• Type-safe: Designed for powerful and informative type checking
• Python-centric Design: Leverages Python's familiar control flow and agent composition
• Structured Responses: Validates and structures model outputs for consistent responses
• Dependency Injection System: Provides an optional dependency injection system for testing and eval-driven development
• Streamed Responses: Allows for streamed LLM outputs with immediate validation
• Graph Support: Supports defining graphs using typing hints for complex applications

Use Cases

• Building Production-Grade AI Applications: PydanticAI is designed to make it easy to build production-grade AI applications with a simple and intuitive API
• Generative AI: PydanticAI supports multiple generative AI models and provides a flexible framework for building AI-driven applications
• Natural Language Processing: PydanticAI can be used for natural language processing tasks, such as text classification, sentiment analysis, and language translation
• Conversational AI: PydanticAI provides a framework for building conversational AI applications, such as chatbots and virtual assistants.